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Find the maxima, minima, and saddle points of the function f(x,y) = x4 + y4 + 4xy.

Mathematics

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Step-by-step solution

4 steps

To find the maxima, minima, and saddle points of the function f(x,y)=x4+y4+4xyf(x,y) = x^4 + y^4 + 4xy, we follow these steps:

  1. Find the first partial derivatives and set them to zero to find critical points.

    The given function is f(x,y)=x4+y4+4xyf(x,y) = x^4 + y^4 + 4xy.
    The partial derivative with respect to xx is:

    fx=∂∂x(x4+y4+4xy)=4x3+4yf_x = \frac{\partial}{\partial x}(x^4 + y^4 + 4xy) = 4x^3 + 4y

    The partial derivative with respect to yy is:

    fy=∂∂y(x4+y4+4xy)=4y3+4xf_y = \frac{\partial}{\partial y}(x^4 + y^4 + 4xy) = 4y^3 + 4x

    Set fx=0f_x = 0 and fy=0f_y = 0:

    1. 4x3+4y=0  ⟹  x3+y=0  ⟹  y=−x34x^3 + 4y = 0 \implies x^3 + y = 0 \implies y = -x^3
    2. 4y3+4x=0  ⟹  y3+x=04y^3 + 4x = 0 \implies y^3 + x = 0

    Substitute y=−x3y = -x^3 from equation (1) into equation (2):

    (−x3)3+x=0(-x^3)^3 + x = 0 −x9+x=0-x^9 + x = 0 x(1−x8)=0x(1 - x^8) = 0

    This equation yields three possible values for xx:

    • x=0x = 0
    • 1−x8=0  ⟹  x8=1  ⟹  x=±11 - x^8 = 0 \implies x^8 = 1 \implies x = \pm 1

    Now, find the corresponding yy values using y=−x3y = -x^3:

    • If x=0x = 0, then y=−(0)3=0y = -(0)^3 = 0. Critical point: (0,0)(0,0).
    • If x=1x = 1, then y=−(1)3=−1y = -(1)^3 = -1. Critical point: (1,−1)(1,-1).
    • If x=−1x = -1, then y=−(−1)3=1y = -(-1)^3 = 1. Critical point: (−1,1)(-1,1).

    The critical points are (0,0)(0,0), (1,−1)(1,-1), and (−1,1)(-1,1).

  2. Find the second partial derivatives.

    fxx=∂∂x(4x3+4y)=12x2f_{xx} = \frac{\partial}{\partial x}(4x^3 + 4y) = 12x^2 fyy=∂∂y(4y3+4x)=12y2f_{yy} = \frac{\partial}{\partial y}(4y^3 + 4x) = 12y^2 fxy=∂∂y(4x3+4y)=4f_{xy} = \frac{\partial}{\partial y}(4x^3 + 4y) = 4
  3. Calculate the discriminant D(x,y)=fxxfyy−(fxy)2D(x,y) = f_{xx}f_{yy} - (f_{xy})^2.

    D(x,y)=(12x2)(12y2)−(4)2=144x2y2−16D(x,y) = (12x^2)(12y^2) - (4)^2 = 144x^2y^2 - 16
  4. Apply the Second Derivative Test to each critical point.

    • For the critical point (0,0)(0,0):

      D(0,0)=144(0)2(0)2−16=−16D(0,0) = 144(0)^2(0)^2 - 16 = -16

      Since D(0,0)<0D(0,0) < 0, the point (0,0)(0,0) is a saddle point.

    • For the critical point (1,−1)(1,-1):

      D(1,−1)=144(1)2(−1)2−16=144−16=128D(1,-1) = 144(1)^2(-1)^2 - 16 = 144 - 16 = 128

      Since D(1,−1)>0D(1,-1) > 0, we check fxxf_{xx}:

      fxx(1,−1)=12(1)2=12f_{xx}(1,-1) = 12(1)^2 = 12

      Since fxx(1,−1)>0f_{xx}(1,-1) > 0, the point (1,−1)(1,-1) is a local minimum. The function value at this point is:

      f(1,−1)=(1)4+(−1)4+4(1)(−1)=1+1−4=−2f(1,-1) = (1)^4 + (-1)^4 + 4(1)(-1) = 1 + 1 - 4 = -2
    • For the critical point (−1,1)(-1,1):

      D(−1,1)=144(−1)2(1)2−16=144−16=128D(-1,1) = 144(-1)^2(1)^2 - 16 = 144 - 16 = 128

      Since D(−1,1)>0D(-1,1) > 0, we check fxxf_{xx}:

      fxx(−1,1)=12(−1)2=12f_{xx}(-1,1) = 12(-1)^2 = 12

      Since fxx(−1,1)>0f_{xx}(-1,1) > 0, the point (−1,1)(-1,1) is a local minimum. The function value at this point is:

      f(−1,1)=(−1)4+(1)4+4(−1)(1)=1+1−4=−2f(-1,1) = (-1)^4 + (1)^4 + 4(-1)(1) = 1 + 1 - 4 = -2

    The final answer is:

    • Saddle point at (0,0)(0,0)
    • Local minimum at (1,−1)(1,-1) with value −2-2
    • Local minimum at (−1,1)(-1,1) with value −2-2
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